Mathematics · lesson 3 of 4
Gradients, tangent planes and extrema
The gradient collects first partial derivatives and determines directional derivatives through a dot product.
Learn the ideas
Prerequisites: Partial derivatives and vector dot products.
Gradient
The gradient collects first partial derivatives and determines directional derivatives through a dot product.
Tangent plane
Linearization at a differentiable point uses f(a,b)+fₓ(a,b)(x−a)+fᵧ(a,b)(y−b).
Stationary points
A zero gradient is necessary for an interior differentiable extremum, not sufficient.
Hessian test
In two variables, positive determinant and positive fₓₓ identify a strict local minimum; negative determinant identifies a saddle.
Worked examples
For f(x,y)=x²+3y², find fₓ at (2,1).
Differentiate with respect to x to obtain 2x, then substitute x=2.
4
Write the tangent plane to z=x²+y² at (1,2,5).
Credit the correct base height and both gradient coefficients.
z=5+2(x−1)+4(y−2), equivalently z=2x+4y−5.
Check your understanding
8 questionsDecimals or fractions are accepted for numeric answers. Proofs and written responses use sample answers and require human marking. This is practice, not a protected examination.
Further reading and review references
These are reference links, not copied exercises, institutional endorsement or proof of independent review.